8/7/2019 HRAR_RBDOParra

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Development of Parallelized RBDO Software System onTARDEC High Performance Computing for DurabilityOptimization of Vehicle Systems

Principal Investigator:

K.K. Choi, University of Iowa, kkchoi@engineering.uiowa.edu

Quad Members

Industry:

Dmitry Tanenko, Mike Honaker, General Dynamics Land Systems

Use of Reliability-Based Design Optimization (RBDO) by TARDEC is expected to

improve future Army ground designs by reducing weight, increasing the average lifeof all parts subject to fatigue, and decreasing the total lifecycle cost. The results of

this project will be able to support Armys Reliability-Centered maintenance (RCM)

and Condition-Based maintenance (CBM) by identifying locations where the sensors

should be mounted (i.e., durability hot spots) for efective data collection.

The main objective of this project is to continue the technology transfer to TARDEC

by developing and installing a parallelized software system that integrates the

University of Iowa developed DRAW code (durability analysis) and DSO code

(sensitivity analysis) codes on the TARDEC High Performance Computing (HPC)

platform.

Further, the DSO code will be integrated with HyperMesh Morpher to allowTARDEC engineers to parameterize ground vehicle solid components very easily and

conveniently. A unique feature of the proposed research is the integration of the

technical developments made in complementary projects "System Reliability-Based

Design Optimization with Associated Confidence Level Under Input Model and

Simulation Model Uncertainties" with DRAW and DSO to develop a simulation-based

design tool for system-level RBDO with the associated target confidence level to

improve and optimize the design of complex mechanical systems, such as ground

vehicles, for weight reduction, fatigue durability, and other optimization goals.

These integrated software system is being parallelized and installed on the U.S. Army

TARDEC High Performance Computing (HPC) to demonstrate feasibility of practicalapplications to large-scale ground vehicles.

Publications:

Zhao, L., Choi, K.K., Lee, I., and Gorsich, D., Sequential-Sampling-Based Kriging Method with Dynamic

Basis Selection, 8th World Congress on Structural and Multidisciplinary Optimization, June 1-5, 2009,

Lisbon, Portugal.

Zhao, L., Choi, K.K., Lee, I., and Du, L., A Sequential Sampling Response Surface Method for Reliability-

Based Design Optimization, Proceeding of ASME 2009.

Noh, Y., Choi, K.K., and Du, L., Reliability-based design optimization of problems with correlated input

variables using a Gaussian Copula, Structural and Multidisciplinary Optimization, Vol. 38, No. 1, 2009,

pp. 116. Noh, Y., Choi, K.K., and Lee, I., Reduction of Ordering Efect in Reliability-Based Design OptimizationUsing Dimension Reduction Method, AIAA Journal, Vol. 47, No. 4, 2009, pp. 994-1004.

HighRoad Automotive Research

www.highroadauto.org

http://arc.engin.umich.edu/rsrch/rsrch3_3.htmlhttp://arc.engin.umich.edu/contact_researchers.html#kkchoihttp://www.highroadauto.org/http://www.highroadauto.org/http://www.highroadauto.org/http://arc.engin.umich.edu/rsrch/rsrch3_3.htmlhttp://arc.engin.umich.edu/rsrch/rsrch3_3.htmlmailto:kkchoi@engineering.uiowa.edumailto:kkchoi@engineering.uiowa.eduhttp://arc.engin.umich.edu/contact_researchers.html#kkchoihttp://arc.engin.umich.edu/contact_researchers.html#kkchoi